2 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
CodeTeam: An LLM-Powered Multi-Agent Framework for Repository-Level Code Generation
Yifei Wang, Ruiyin Li, Peng Liang +4
Natural language to repository generation (NL2Repo) requires a system to construct an entire software repository from a natural-language requirements document. Compared with functi…
Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course
Amir Mashmool, Kishan Ravindra Sawant, Mojtaba Shahin +2
Teaching Software Engineering for AI-enabled systems entails addressing the integration of AI components within full-scale software architectures under realistic constraints. While…
Rule Taxonomy and Evolution in AI IDEs: A Mining and Survey Study
Guangzong Cai, Ruiyin Li, Peng Liang +2
The adoption of AI-powered Integrated Development Environments (AI IDEs) has introduced "Rules" as a novel software artifact, allowing developers to persistently inject project-spe…
Using LLMs in Software Design: An Empirical Study of GitHub and A Practitioner Survey
Yifei Wang, Ruiyin Li, Peng Liang +5
Recent advancements in Large Language Models (LLMs) have demonstrated significant potential across software engineering tasks, including software design, an area traditionally rega…
Beyond Functional Correctness: Design Issues in AI IDE-Generated Large-Scale Projects
Syed Mohammad Kashif, Ruiyin Li, Peng Liang +4
New generation of AI coding tools, including AI-powered IDEs equipped with agentic capabilities, can generate code within the context of the project. These AI IDEs are increasingly…